Obtaining Value from Big Data for Service Systems, Volume II: Big Data Technology, Second Edition


Volume II of this series discusses the technology used to implement a big data analysis capability within a service-oriented organization. It discusses the technical architecture necessary to implement a big data analysis capability, some issues and challenges in big data analysis and utilization that an organization will face, and how to capture value from it.
It will help readers understand what technology is required for a basic capability and what the expected benefits are from establishing a big data capability within their organization.


About the Author(s)

Stephen H. Kaisler

Stephen H. Kaisler is consultant at SHK & Associates and adjunct professor of engineering at George Washington University. He has focused his efforts on Big Data and analytics, and enterprise …

Frank Armour

Frank Armour is assistant professor in the Kogod School of Business at the American University and the faculty program director for the MS degree program in analytics. He has over 25 years of extensi…

J. Alberto Espinosa

J. Alberto Espinosa is professor and former chair of information technology in the Kogod School of Business at the American University. His research focuses on coordination in global technical projec…

William H. Money

William H. Money is associate professor at the Baker School of Business, The Citadel. His recent research interests focus on collaborative solutions to complex business problems; business proc…

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Pub Date

June 11, 2019





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